Super Resolution For Remote Sensing Applications Using Deep Learning Techniques

Download Super Resolution For Remote Sensing Applications Using Deep Learning Techniques full books in PDF, epub, and Kindle. Read online free Super Resolution For Remote Sensing Applications Using Deep Learning Techniques ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques

Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques
Author :
Publisher : Cambridge Scholars Publishing
Total Pages : 226
Release :
ISBN-10 : 9781527591356
ISBN-13 : 1527591352
Rating : 4/5 (352 Downloads)

Book Synopsis Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques by : G. Rohith

Download or read book Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques written by G. Rohith and published by Cambridge Scholars Publishing. This book was released on 2022-12-14 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Satellite image processing is crucial in detecting vegetation, clouds, and other atmospheric applications. Due to sensor limitations and pre-processing, remotely sensed satellite images may have interpretability concerns as to specific portions of the image, making it hard to recognise patterns or objects and posing the risk of losing minute details in the image. Existing imaging processors and optical components are expensive to counterfeit, have interpretability issues, and are not necessarily viable in real applications. This book exploits the usage of deep learning (DL) components in feature extraction to boost the minute details of images and their classification implications to tackle such problems. It shows the importance of super-resolution in improving the spatial details of images and aiding digital aerial photography in pan-sharpening, detecting signatures correctly, and making precise decisions with decision-making tools.


Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques Related Books

Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques
Language: en
Pages: 226
Authors: G. Rohith
Categories: Computers
Type: BOOK - Published: 2022-12-14 - Publisher: Cambridge Scholars Publishing

DOWNLOAD EBOOK

Satellite image processing is crucial in detecting vegetation, clouds, and other atmospheric applications. Due to sensor limitations and pre-processing, remotel
Fundamentals and Methods of Machine and Deep Learning
Language: en
Pages: 480
Authors: Pradeep Singh
Categories: Computers
Type: BOOK - Published: 2022-02-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning al
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Language: en
Pages: 438
Authors: Yakoub Bazi
Categories: Science
Type: BOOK - Published: 2021-06-15 - Publisher: MDPI

DOWNLOAD EBOOK

The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly ch
Hyperspectral Image Analysis
Language: en
Pages: 464
Authors: Saurabh Prasad
Categories: Computers
Type: BOOK - Published: 2020-04-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a
Computer Vision – ECCV 2018
Language: en
Pages: 831
Authors: Vittorio Ferrari
Categories: Computers
Type: BOOK - Published: 2018-10-07 - Publisher: Springer

DOWNLOAD EBOOK

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 201